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Introduction to Deep Learning

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers.



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The techniques and tools covered in Introduction to Deep Learning are most similar to the requirements found in Data Scientist job advertisements.


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